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Aug 26, 2021 - Python
Data Science
Data science is an inter-disciplinary field that uses scientific methods, processes, algorithms, and systems to extract knowledge from structured and unstructured data. Data scientists perform data analysis and preparation, and their findings inform high-level decisions in many organizations.
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Issue:
Cancel query in Redshift queries does not work
Steps to reproduce the issue:
- Create a Redshift Database connection in Superset
- Run a long-running query on the Redshift Database connection on SQL Lab
- Try to cancel the query in the middle of execution and check the Redshift Running queries and the query may not be killed.
- The only option to kill the query is to kill it
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Aug 15, 2021 - Jupyter Notebook
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Jul 31, 2021 - Jupyter Notebook
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May 13, 2021 - Python
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Aug 26, 2021 - Python
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Jun 28, 2021 - Python
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Aug 25, 2021 - Jupyter Notebook
Apache Arrow has a first-class tabular file format, Feather, that the Ray Datasets IO layer should support. Combined with Ray Datasets' existing .from_arrow() and .to_arrow() APIs, this would round out our "all-Arrow" experience, which should be as nice as possible given our "distributed Arrow dataset" positioning.
Implementation Note
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Aug 25, 2021
We currently print a warning as shown below when a user sets both a widget default value in the function defining the widget as well as a widget value via the widget's key in st.session_state
While we certainly want to do this by default since doing both is not recommended, we should provide a
📚 Documentation
There are a few undocumented public properties in the logger wrappers.
Example:
https://github.com/PyTorchLightning/pytorch-lightning/blob/92e49795e1e044ee7f1ca450babf0c50c1b5d81f/pytorch_lightning/loggers/mlflow.py#L174
Let's document these so they show up in our HTML docs and so users can discover them.
**This is a good issue for new contributors!! If you are int
In recent versions (can't say from exactly when), there seems to be an off-by-one error in dcc.DatePickerRange. I set max_date_allowed = datetime.today().date(), but in the calendar, yesterday is the maximum date allowed. I see it in my apps, and it is also present in the first example on the DatePickerRange documentation page.
E
The docs for IPython.core.interactiveshell.InteractiveShell.set_custom_exc have horribly mangled a warning message into a list of arguments. I can't work out at a glance why this is happening; it might be a sphinx.ext.napoleon bug, or a sphi
Bug summary
I am using contourf to plot filled in contours, but some of the contours are not being filled in despite how values exist for those regions. I am including an example. The code behind the generation of R_mesh, Z_mesh, and total_mesh has been exempted for simplicity, but the problem remains the same.
Code for reproduction
R_mesh = [231.86725132, 220-
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Apr 16, 2021 - JavaScript
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Aug 12, 2021 - Jupyter Notebook
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Aug 25, 2021
In gensim/models/fasttext.py:
model = FastText(
vector_size=m.dim,
vector_size=m.dim,
window=m.ws,
window=m.ws,
epochs=m.epoch,
epochs=m.epoch,
negative=m.neg,
negative=m.neg,
# FIXME: these next 2 lines read in unsupported FB FT modes (loss=3 softmax or loss=4 onevsall,
# or model=3 supervi-
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May 20, 2020
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May 2, 2021
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Jul 30, 2021 - Jupyter Notebook
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Aug 26, 2021 - Python
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Aug 26, 2021 - Python
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May 16, 2021
Is your feature request related to a problem? Please describe.
I want to evaluate multiple datasets (same formatting, they can share the same dataset reader). The "evaluate" command takes much longer to load the model than to evaluate.
Describe the solution you'd like
support passing multiple input files and output files to the "evaluate" command
**Describe alternatives you've cons
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Aug 25, 2021
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Aug 26, 2021 - Python
- Wikipedia
- Wikipedia

Describe the issue linked to the documentation
The "20 newsgroups text" dataset can be accessed within scikit-learn using defined functions. The dataset contains some text which is considered culturally insensitive.
Suggest a potential alternative/fix
Add a section in the dataset documentation, possibly above the "Recommendation" section called "Data Considerations".
https://